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Classification for Human Balance Capacity Based on Visual Stimulation under a Virtual Reality Environment

机译：虚拟现实环境下基于视觉刺激的人体平衡能力分类

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摘要

The normal and disordered people balance ability classification is a key premise for rehabilitation training. This paper proposes a multi-barycentric area model (MBAM), which can be applied for accurate video analysis based classification. First, we have invited fifty-three subjects to wear an HTC (High Tech Computer Corporation) VIVE (Very Immersive Virtual Experience) helmet and to walk ten meters while seeing a virtual environment. The subjects’ motion behaviors are collected as our balance ability classification dataset. Secondly, we use background differential algorithm and bilateral filtering as the preprocessing to alleviate the video noise and motion blur. Inspired by the balance principle of a tumbler, we introduce a MBAM model to describe the body balancing condition by computing the gravity center of a triangle area, which is surrounded by the upper, middle and lower parts of the human body. Finally, we can obtain the projection coordinates according to the center of gravity of the triangle, and get the roadmap of the subjects by connecting those projection coordinates. In the experiments, we adopt four kinds of metrics (the MBAM, the area variance, the roadmap and the walking speed) innumerical analysis to verify the effect of the proposed method. Experimental results show that the proposed method can obtain a more accurate classification for human balance ability. The proposed research may provide potential theoretical support for the clinical diagnosis and treatment for balance dysfunction patients.
机译：正常人和无序人的平衡能力分类是康复训练的关键前提。本文提出了一种多重心区域模型（MBAM），该模型可用于基于视频分析的准确分类。首先，我们邀请了53名受试者佩戴HTC（高科技计算机公司）VIVE（超沉浸式虚拟体验）头盔，并在看到虚拟环境的同时走了十米。收集受试者的运动行为作为我们的平衡能力分类数据集。其次，我们采用背景差分算法和双边滤波作为预处理，以减轻视频噪声和运动模糊。受不倒翁平衡原理的启发，我们引入了MBAM模型，通过计算三角形区域的重心来描述人体平衡状态，该三角形区域被人体的上部，中部和下部包围。最后，我们可以根据三角形的重心获得投影坐标，并通过连接这些投影坐标来获得对象的路线图。在实验中，我们采用四种指标（MBAM，面积方差，路线图和步行速度）进行了数值分析，以验证该方法的有效性。实验结果表明，所提出的方法可以对人的平衡能力进行更准确的分类。所提出的研究可能为平衡功能障碍患者的临床诊断和治疗提供潜在的理论支持。

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